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Record W4392640845 · doi:10.1080/01634372.2024.2326684

Perceived Community Belonging as a Moderator: Effects of Childhood Abuse on Health and Well-Being Among Middle-Aged and Older Canadians

2024· article· en· W4392640845 on OpenAlexaffabout
Lei Chai

Bibliographic record

VenueJournal of Gerontological Social Work · 2024
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsModerationPsychologyGerontologyDevelopmental psychologyClinical psychologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

This study examined the moderating role of perceived community belonging in the relationship between childhood abuse and health and well-being outcomes among Canadian individuals aged 55 and older. Using data from the 2014 Canadian General Social Survey (n = 14,416), multiple linear regression models revealed that women who experienced either childhood physical or sexual abuse reported poorer self-rated general and mental health, as well as lower life satisfaction, compared to those without such histories. The most pronounced effects were observed among women who experienced both types of abuse. For men, a similar pattern was evident only for those who experienced childhood physical abuse. Notably, among women, a strong sense of community belonging lessened the negative effects of both types of childhood abuse on all examined outcomes. These findings underscore the protective role of perceived community belonging against the consequences of childhood abuse for older women. They illuminate the crucial role of gerontological social workers and scholars in promoting community integration and support. Focusing on these areas, especially for those with traumatic histories, can potentially improve their overall health and well-being.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.917
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.286
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2024
Admission routes2
Has abstractyes

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